NNLME: Stata module to estimate Nested Nonlinear Longitudinal Mixed-Effects regression

Sean Clouston ()
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Sean Clouston: Stony Brook University

Statistical Software Components from Boston College Department of Economics

Abstract: nnlme defines a program designed to implement a nested nonlinear regression following a standard exponentiated survival curve. When working correctly, the program isolates a latent curve along which there is an exogenous but unobserved acceleration in the negative direction in the rate of change over time. Because time is the main boundary defining parameter of interest, it is required for analysis to be feasible.

Language: Stata
Requires: Stata version 17
Keywords: panel data; mixed effects; nested models (search for similar items in EconPapers)
Date: 2026-07-30
Note: This module should be installed from within Stata by typing "ssc install nnlme". The module is made available under terms of the MIT license (https://opensource.org/licenses/MIT).
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http://fmwww.bc.edu/repec/bocode/n/nnlme.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/n/nnlme.sthlp help file (text/plain)

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